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Updated: Mar 23, 2026

Assessment of Resistance to Tyrosine Kinase Inhibitors by an Interrogation of Signal Transduction Pathways by Antibody Arrays
Published on: September 19, 2018
Proteome-wide dataset supporting functional study of tyrosine kinases in breast cancer
Nicos Angelopoulos1, Justin Stebbing1, Yichen Xu1
1Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 ONN, UK.
Abstract:
Tyrosine kinases (TKs) play an essential role in regulating various cellular activities and dysregulation of TK signaling contributes to oncogenesis. However, less than half of the TKs have been thoroughly studied. Through a combined use of RNAi and stable isotope labeling with amino acids in cell culture (SILAC)-based quantitative proteomics, a global functional proteomic landscape of TKs in breast cancer was recently revealed highlighting a comprehensive and highly integrated signaling network regulated by TKs (Stebbing et al., 2015) [1]. We collate the enormous amount of the proteomic data in an open access platform, providing a valuable resource for studying the function of TKs in cancer and benefiting the science community. Here we present a detailed description related to this study (Stebbing et al., 2015) [1] and the raw data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the identifier PXD002065.
Insights
This study reveals the global functional proteomic landscape of tyrosine kinases (TKs) in breast cancer using RNAi and SILAC proteomics. The data, now publicly available, offers a valuable resource for cancer research and understanding TK signaling networks.
Area of Science:
- Biochemistry
- Proteomics
- Cancer Biology
Background:
- Tyrosine kinases (TKs) are crucial for cellular functions.
- Dysregulated TK signaling is implicated in cancer development.
- Many TKs remain understudied, limiting our understanding of their roles.
Purpose of the Study:
- To globally map the functional proteomic landscape of TKs in breast cancer.
- To identify the integrated signaling network regulated by TKs.
- To create an accessible resource for the scientific community.
Main Methods:
- RNA interference (RNAi) for gene silencing.
- Stable Isotope Labeling with Amino acids in cell culture (SILAC) for quantitative proteomics.
- High-throughput proteomic analysis to profile TK activity.
Main Results:
- A comprehensive proteomic landscape of TKs in breast cancer was elucidated.
- A highly integrated signaling network regulated by TKs was highlighted.
- The study identified previously underappreciated TK functions in cancer.
Conclusions:
- The proteomic data provides a valuable resource for cancer research.
- Understanding TK signaling networks is key to developing targeted cancer therapies.
- Open access data facilitates further investigation into TKs in oncogenesis.
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